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Proceedings Paper

Feature-based approach for image correspondence estimation
Author(s): Xiaohui Yuan; Jian Zhang; Bill Buckles; Zhaoshan Yuan
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Paper Abstract

A feature based approach cooperating with Evolution Strategies for image correspondence estimation is proposed. As an optimization algorithm, Evolution Strategies is employed to search the optimal correspondence through out the source images. Instead of finding the correspondence of the entire image, the spatial relationships ofthe feature configuration in each image are discovered, where feature configuration is defined as the cluster of feature vectors on an image representing homogeneous feature distribution. Employing ES reduces the computational expense and broadens the applicable area since the comparison is restricted to the area inside the search structure of Evolution Strategies, which is defined as an ellipse. The results from various test images prove it to be an efficient and effective approach.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477214
Show Author Affiliations
Xiaohui Yuan, Tulane Univ. (United States)
Jian Zhang, Tulane Univ. (United States)
Bill Buckles, Tulane Univ. (United States)
Zhaoshan Yuan, Hefei Univ. of Technology (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics

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